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Especially during public health crises, such as food poisoning outbreaks, violent language can undermine public trust and spread false information. We developed a Chinese food health dataset Food23 and proposed a rumor detection method based on knowledge distillation (KD) technology to reduce network parameters and facilitate model deployment. By constructing domain features, this method proposes a segmented domain feature vector update mechanism and a segmented domain attention mechanism. Experimental results show that our method performs well in using domain features compared with existing multidomain and cross\u2010domain violent language detection tasks. 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